LPP-FIN::Pre-Execution Admissibility for AI-Triggered Financial Actions
Jason Liao · Zenodo (CERN European Organization for Nuclear Research) · 2026
LPP-FIN is a domain-specific application of the Lingua Pactum Protocol (LPP) Admission Kernel to AI-triggered financial actions. As AI systems become increasingly capable of initiating, recommending, or triggering financial operations—including fund transfers, trade execution, portfolio rebalancing, credit decisions, settlement operations, compliance escalations, and financial workflow automation—financial AI governance must move beyond model-level assurance and post-hoc audit. This preprint introduces a pre-execution admissibility framework for AI-triggered financial actions. The central claim is that consequential financial actions should not be evaluated only after execution, nor governed only through model validation, audit logs, or human review. Instead, a specific AI-triggered financial action must be evaluated before execution under a valid, active, scope-bound, revocable, and verifiable authority structure. The paper contributes: 1. A financial action classification model, F0–F4, separating informational outputs, reversible workflow actions, irreversible financial execution, and asset-critical or systemic-risk operations.2. A formal admissibility function, Admit_FIN(E_FIN, G_FIN), for AI-triggered financial execution intents.3. A Financial Authority Object structure for binding authority, scope, validity, revocation state, amount limits, risk class, and policy state.4. A pre-execution gate architecture connecting AI-generated financial intent to execution hooks.5. A Financial Admission Artifact model for reconstructable authorization evidence.6. A latency-aware deployment model for high-frequency trading, real-time settlement, payment workflows, and pre-minted bounded permits. LPP-FIN is not a model alignment patch, compliance dashboard, post-hoc audit system, financial risk model, or IAM replacement. It is a pre-execution admissibility framework for determining whether an AI-triggered financial action is allowed to become an executable financial event. Core principle: No valid authority, no execution.No scope match, no execution.No revocation check, no execution.No latency-bound admission, no execution.No reconstructable artifact, no admissibility.